Prediction intelligence platform • No real-money wagering

Model uncertainty,
as evidence arrives.

Kalpae ingests verifiable external signals, applies transparent rule-based reasoning, and publishes live probability curves that show what is changing and why.

Preview Curve Snapshot

Platform Snapshot

Signal Refresh

Continuous

Position Mode

Simulated YES / NO

Primary Use

Decision Intelligence

Output TypeProbability Curves

Use CaseDecision Support

01 — Platform Overview

Built for reasoning under uncertainty.

Track how uncertainty changes, not just a final answer.

Kalpae continuously models live probability curves so you can see how confidence evolves over time as the world changes.

Understand why beliefs move.

Every update is tied to verifiable external signals and transparent rule-based reasoning, making each shift explainable instead of opaque.

Practice forecasting without financial risk.

Users take simulated YES and NO positions to test reasoning, build track records, and improve decision quality without real-money wagering.

02 — Reasoning Pipeline

How uncertainty becomes an explainable curve.

Step 01

Signal Intake

Verifiable external signals are ingested from trusted public and structured sources.

Step 02

Chainlink CRE Processing

Chainlink Runtime Environment (CRE) orchestrates offchain workflows for evaluation and update execution.

Step 03

Rule-Based Belief Update

Transparent reasoning rules compute how new evidence should adjust event probability.

Step 04

Simulated Position Interaction

Users interact through simulated YES/NO positions to test hypotheses and compare judgment with model output.

Step 05

Curve Publication

Live probability curves and evidence logs are published as informational signals for learning and decision support.

03 — Live Curves

Simulated consensus and model belief, side by side.

Compare learning signals in real time. These curves are informational outputs, not financial outcomes.

CURVE_ID: DEMO-CURVE-ALPHA

LIVE_REASONING

Will the monitored macro regime remain stable through the next review window?

Aggregate user forecast57.4%

System belief curve61.2%

Evidence Stream

[Signal-A]Primary-source momentum remained consistent across the latest cycle.

[Signal-B]Corroborative indicators stayed aligned with baseline expectations.

[Signal-C]No contradiction breached the configured confidence thresholds.

>Waiting for next verified signal...

04 — Get Started